23 of 23 SAS Jobs in the North of England

Data Engineering role, ideally in the bank sector Strong passion for data and software engineering with a problem-solving mindset Proficiency in technologies such as dbt, SQL, Python, Java, SAS, or other open-source analytics tools Ability to translate complex business requirements into technical solutions Excellent communication and interpersonal skills; able to explain technical concepts to non-technical stakeholders More ❯

and ready to challenge the status quo. You'll have: A degree in a numerate subject (e.g. Mathematics, Statistics, Economics, or similar). Strong hands-on experience with SQL, SAS, Python or equivalent - you can interrogate large datasets with confidence. Advanced Excel skills. Experience with fraud strategy, credit risk, or related analytics (experience with FICO Blaze Advisor or other More ❯

working with RDMS such as Oracle or SQL Server and cloud-based data platforms - preferably Snowflake Knowledge of at least one SQL dialect (T-SQL, PostgreSQL, MSSQL, MYSQL) and SAS language is essential Proven experience in working on multiple concurrent projects Proven experience in process change, including reconciliation of outputs Ability to understand where efficiencies can be gained from More ❯

ACF, Endevor, DB2 and IMS • Must be fluent in English, oral and written. Nice-To-Have Skills: • Experience in the financial industry. • Experience in mainframe development such as CA7, SAS, CICS is nice to have • Worked in Agile lab or used Agile framework. • Experience in Java, Azure is an asset. Soft Skills Required: • Excellent problem-solving and analytical skills More ❯

a focus in Motor Experience and detailed technical knowledge of GLMs/Elastic Nets, GBMs, GAMs, Random Forests, and clustering techniques Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Team player Self-motivated with a drive to learn and develop More ❯

a focus in Motor Experience and detailed technical knowledge of GLMs/Elastic Nets, GBMs, GAMs, Random Forests, and clustering techniques Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Team player Self-motivated with a drive to learn and develop More ❯

of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise manner More ❯

of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner More ❯

Full-time (Permanent) £73900 - £77900 per annum + £21,700 Manchester Published on 8 August 2025 Deadline 22 August 2025 As part of the DDaT's innovative SAS Level 2 (L2) Support Team, you will contribute to real-time monitoring of the Home Office's core technology, infrastructure, applications, and services. The team provides a unified operational view of More ❯

reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯

reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯

reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯

reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯

reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯

reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯

techniques to combat fraud and other financial crime, and also have a good understanding of the interplay between minimising fraud and maximising sales. You will have experience using SQL, SAS or Python for data mining and analysis.You would report to the Senior Manager Fraud Strategy who is responsible for fraud and financial crime strategy. In the role you would … and detection, working for a direct-to-consumer lender. You should be highly analytical with a demonstrated ability to solve problems through logical thinking. You have experience using SQL, SAS or Python for data mining and analysis. You would be comfortable extracting and analysing large datasets using SQL. You have excellent presentation skills and are able to explain complex More ❯

and techniques to combat fraud and other financial crime, and also have a good understanding of the interplay between minimising fraud and maximising sales.You will have experience using SQL, SAS or Python for data mining and analysis. You would report to the Senior Manager Fraud Strategy who is responsible for fraud and financial crime strategy. In the role you … and detection, working for a direct-to-consumer lender. You should be highly analytical with a demonstrated ability to solve problems through logical thinking. You have experience using SQL, SAS or Python for data mining and analysis. You would be comfortable extracting and analysing large datasets using SQL. You have excellent presentation skills and are able to explain complex More ❯

Automation & Tech Sr. PM-T, Strategic Account Services (SAS) What is the Amazon Marketplace? More than 300 million customers shop in Amazon's marketplaces globally. Every day, customers browse, purchase, and review products sold by third-party sellers right alongside products sold by Amazon. Since 2000, Amazon welcomes companies of all sizes to offer their products, helping them reach … hundreds of millions of customers, build their brands, and grow their business. What is Amazon Strategic Account Services (SAS)? The SAS team aims to accelerate the full potential of our Sellers, helping them to navigate the increasing complexity of the e-commerce space. Our team provides in-depth strategic consultancy using a data-driven, collaborative, and a Customer More ❯

we need from you: Degree in a quantitative discipline with significant coursework in statistics, econometrics, or an allied field (essential) Direct experience of numerical programming (using, e.g., Python, R, SAS) and database programming (using, e.g., SQL Server and/or Azure SQL, SAS) Direct experience of using customer feedback tools (Rant & Rave, Medallia) Solid critical thinking skills, intellectual More ❯

banking sectors. Apply statistical techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and develop solutions for internal and external clients. Present proposals, methodologies, and results to stakeholders, explaining complex statistical techniques to diverse … regulatory environment in which clients operate. Collaborate closely with internal Sales and Strategy Consulting teams to identify and shape broader opportunities and solutions. YOUR SKILLS AND EXPERIENCE Experience with SAS, SQL, or Python in a credit risk environment is required. Strong academic background in a STEM field. Experience with credit bureau data needed. 6 + years of experience in More ❯

data warehouse team is managed appropriately, scheduled jobs run without error and are delivered within SLA. This is a hands-on role which will primarily support the business with SAS, being used as the primary tool for analytics, data mining, data warehousing and production of MI/BI. Nice to have skills for the Data Warehouse Manager role: At … least 3 years of experience in a data-related role Experience managing a technical team SAS SQL Oracle Understanding of ETL Python Linux OS Good communication skills In return, the Data Warehouse Manager can expected a salary up to £60,000 DOE + benefits. The role will be based in the Chester offices, but will be on a hybrid More ❯

JOB TITLE: Senior Data Analyst LOCATION: Newport/Bristol/Edinburgh/Leeds SALARY: £39,825 - £44,250 HOURS: Full-Time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of More ❯

collections scorecards Leading projects end-to-end: from data extraction and segmentation through to validation and presentation Working closely with clients to understand business objectives and risk appetite Using SAS or Python to develop models that drive credit decisioning and policy Supporting internal product innovation and next-gen modelling initiatives REQUIREMENTS Proven experience building risk models (application/behavioural …/collections) - ideally in a bureau, consultancy, or lender Strong technical toolkit: SAS, SQL, Python, or R Ability to manage client relationships and present technical content to non-technical stakeholders HOW TO APPLY Please apply below or send CV More ❯